The only single, up-to-date source for Grid issues inbioinformatics and biology
Bioinformatics is fast emerging as an important discipline foracademic research and industrial applications, creating a need forthe use of Grid computing techniques for large-scale distributedapplications. This book successfully presents Grid algorithms andtheir real-world applications, provides details on modern andongoing research, and explores software frameworks that integratebioinformatics and computational biology.
Additional coverage includes:
* Bio-ontology and data mining
* Data visualization
* DNA assembly, clustering, and mapping
* Molecular evolution and phylogeny
* Gene expression and micro-arrays
* Molecular modeling and simulation
* Sequence search and alignment
* Protein structure prediction
* Grid infrastructure, middleware, and tools for bio data
Grid Computing for Bioinformatics and Computational Biology is anindispensable resource for professionals in several research anddevelopment communities including bioinformatics, computationalbiology, Grid computing, data mining, and more. It also serves asan ideal textbook for undergraduate- and graduate-level courses inbioinformatics and Grid computing.